Energy-Aware VM placement based on intra-balanced resource allocation in data centers

Imene, El-Taani,; Boukala, Mohand-Cherif; Bouzefrane, Samia

doi:10.1109/ficloud49777.2021.00065

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…• VMs placement : The goal is to find a better allocation mapping VMs-to-PMs based on the current resources of the selected VMs. In our previous work [2], we presented a VM placement algorithm based on intrabalanced resource allocation, using the cosine and Jaccard distances.…”

Section: Introductionmentioning

confidence: 99%

Robust approach for host-overload detection based on dynamic safety parameter

Imene

Boukala

Bouzefrane

et al. 2022

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)

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Host-overloading detection is an important phase in the dynamic Virtual Machines (VMs) consolidation process. Using machine learning to predict the future workload on a host, is a very promising technique to avoid the overload host situation. In this work, we propose a novel approach for overloaded hosts detection, based on neural network and Markov model. The neural network is trained on a workload data set composed of VMs CPU-utilization history. The trained model is then used to predict the future usage for a given Physical Machine(PM), by summing up the predicted utilization of all its VMs. The confidence of this prediction is measured through a dynamic safety parameter, based on Markov model. The obtained results show that our approach outperforms the state of the art algorithms such as: MAD, IQR and LRR.

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Section: Introductionmentioning

confidence: 99%

Robust approach for host-overload detection based on dynamic safety parameter

Imene

Boukala

Bouzefrane

et al. 2022

2022 9th International Conference on Future Internet of Things and Cloud (FiCloud)

Self Cite

View full text Add to dashboard Cite

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Game Theory Based Energy-aware Virtual Machine Placement towards Improving Resource Efficiency in Homogeneous Cloud Data Center

Banerjee

Roy

Khatua

2022

2022 IEEE Calcutta Conference (CALCON)

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Design of an energy efficient dynamic virtual machine consolidation model for smart cities in urban areas

Biswas¹,

Banerjee

Ghosh

et al. 2023

IDA

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The growing smart cities in urban areas are becoming more intelligent day by day. Massive storage and high computational resources are required to provide smart services in urban areas. It can be provided through intelligence cloud computing. The establishment of large-scale cloud data centres is rapidly increasing to provide utility-based services in urban areas. Enormous energy consumption of data centres has a destructive effect on the environment. Due to the enormous energy consumption of data centres, a massive amount of greenhouse gases (GHG) are emitted into the environment. Virtual Machine (VM) consolidation can enable energy efficiency to reduce energy consumption of cloud data centres. The reduce energy consumption can increases the Service Level Agreement (SLA) violation. Therefore, in this research, an energy-efficient dynamic VM consolidation model has been proposed to reduce the energy consumption of cloud data centres and curb SLA violations. Novel algorithms have been proposed to accomplished the VM consolidation. A new status of any host called an almost overload host has been introduced, and determined by a novel algorithm based on the Naive Bayes Classifier Machine Learning (ML) model. A new algorithm based on the exponential binary search is proposed to perform the VM selection. Finally, a new Modified Power-Aware Best Fit Decreasing (MPABFD) VM allocation policy is proposed to allocate all VMs. The proposed model has been compared with certain well-known baseline algorithms. The comparison exhibits that the proposed model improves the energy consumption by 25% and SLA violation by 87%.

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Energy-Aware VM placement based on intra-balanced resource allocation in data centers

Cited by 3 publications

References 13 publications

Robust approach for host-overload detection based on dynamic safety parameter

Robust approach for host-overload detection based on dynamic safety parameter

Game Theory Based Energy-aware Virtual Machine Placement towards Improving Resource Efficiency in Homogeneous Cloud Data Center

Design of an energy efficient dynamic virtual machine consolidation model for smart cities in urban areas

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